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| Titel |
The STRatospheric Estimation Algorithm from Mainz (STREAM): Estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution |
| VerfasserIn |
Steffen Beirle, Christoph Hörmann, Patrick Jöckel, Marloes Penning de Vries, Andrea Pozzer, Holger Sihler, Pieter Valks, Thomas Wagner |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250125264
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| Publikation (Nr.) |
 EGU/EGU2016-4824.pdf |
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| Zusammenfassung |
| The STRatospheric Estimation Algorithm from Mainz (STREAM) determines stratospheric
columns of NO2 which are needed for the retrieval of tropospheric columns from satellite
observations. It is based on the total column measurements over clean, remote regions as well
as over clouded scenes where the tropospheric column is effectively shielded. The
contribution of individual satellite measurements to the stratospheric estimate is controlled by
various weighting factors. STREAM is a flexible and robust algorithm and does not require
input from chemical transport models. It was developed as verification algorithm for the
upcoming satellite instrument TROPOMI, as complement to the operational stratospheric
correction based on data assimilation. STREAM was successfully applied to the UV/vis
satellite instruments GOME 1/2, SCIAMACHY, and OMI. It overcomes some of
the artefacts of previous algorithms, as it is capable of reproducing gradients of
stratospheric NO2, e.g. related to the polar vortex, and reduces interpolation errors over
continents. Based on synthetic input data, the uncertainty of STREAM was quantified
as about 0.1-0.2 ×1015 molecules cm−2, in accordance to the typical deviations
between stratospheric estimates from different algorithms compared in this study. |
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